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Abiotic Stress Tolerance in Field Crops: Integration of Omics Approaches

  • Zahide Neslihan Ozturk GokceEmail author
  • Seyda Akbas
  • Sefa Ayten
  • M. Hussain Azimi
  • Reyhan Das
  • Saime Buse Guven
  • Ebrar Karabulut
  • Seher Omezli
  • Zehra Uzer
  • Bayram Ali Yerlikaya
  • Allah Bakhsh
Chapter
  • 58 Downloads

Abstract

The development, growth, and productivity of field crops are negatively influenced by abiotic stresses resulting in significant losses in crop yield. Therefore, understanding tolerance of agronomic crops to abiotic stress factors like drought, salinity, heat, and chilling is of paramount importance for plant scientists for effective management. However, due to the complexity of abiotic stress response and tolerance, initial efforts through gene-based approaches were not enough to understand whole level mechanisms. Recently, tremendous developments made in the field of omics (genomics, transcriptomics, proteomics, metabolomics, and phenomics) have opened new avenues to understand and investigate the complex mechanisms of abiotic stress tolerance in plants, although integration of data collected from omics studies with such traits is still a challenging one. This chapter will emphasize the significance of omics field in understanding crop responses to different abiotic stresses, focusing on the recent developments made in field of omics with future prospects to overcome the major drawbacks of omic approaches.

Keywords

Abiotic stress Omics Omic technologies Genomics Transcriptomics Proteomics Metabolomics Ionomics Lipidomics Phenomics Complex traits Combined stress Wild type Data integration Systems biology 

Abbreviations

2D-PAGE

2-dimensional polyacrylamide gel electrophoresis

ABA

abscisic acid

CE-MS

capillary electrophoresis mass spectroscopy

EGFP

enhanced green fluorescent protein

FT-ICR-MS

Fourier transform ion cyclotron resonance mass spectroscopy

G x E

genotype–environment interaction

GBS

genotyping by sequencing

GC-MS

gas-chromatography mass spectroscopy

GWAS

genome-wide association study

ICP-MS

inductively coupled plasma mass spectrometer

ICP-OES

inductively coupled plasma-optical emission spectrometry

LA-ICP-MS

laser ablation inductively coupled plasma mass spectroscopy

LC-MS

liquid-chromatography mass spectroscopy

MALDI-TOF

matrix-assisted laser desorption/ionization time-of-flight

MAS

marker-assisted selection

mQTL

metabolite quantitative trait locus

MS

mass spectroscopy

MW

molecular weight

NAA

neutron activation analysis

NGS

next-generation sequencing

NMR

nuclear magnetic resonance

pI

isoelectric point

QTL

quantitative trait loci

ROS

reactive oxygen species

SNP

single-nucleotide polymorphism

XAP

X-ray absorption spectroscopy

XRF

X-ray fluorescence

Notes

Acknowledgments

All authors have equally contributed to the writing of this chapter. The corresponding author, Zahide Neslihan Ozturk Gokce, wants to acknowledge their tremendous effort in literature search of this wide topic. We would like to apologize to the scientists whose work and publication have not been emphasized in this chapter due to page limitations.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Zahide Neslihan Ozturk Gokce
    • 1
    Email author
  • Seyda Akbas
    • 1
  • Sefa Ayten
    • 1
  • M. Hussain Azimi
    • 1
  • Reyhan Das
    • 1
  • Saime Buse Guven
    • 1
  • Ebrar Karabulut
    • 1
  • Seher Omezli
    • 1
  • Zehra Uzer
    • 1
  • Bayram Ali Yerlikaya
    • 1
  • Allah Bakhsh
    • 1
  1. 1.Department of Agricultural Genetic Engineering, Ayhan Sahenk Faculty of Agricultural Sciences and TechnologiesNigde Omer Halisdemir UniversityNigdeTurkey

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